Triple

T21743374
Position Surface form Disambiguated ID Type / Status
Subject Shep Gordon E536721 entity
Predicate hasClient P734 FINISHED
Object Emeril Lagasse NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Emeril Lagasse | Statement: [Shep Gordon, hasClient, Emeril Lagasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emeril Lagasse
Context triple: [Shep Gordon, hasClient, Emeril Lagasse]
  • A. Emeril Lagasse chosen
    Emeril Lagasse is an American celebrity chef, restaurateur, and television personality known for his bold Creole-influenced cuisine and energetic catchphrase “Bam!”.
  • B. Roy Raymond
    Roy Raymond was an American entrepreneur best known for creating the lingerie retailer Victoria’s Secret in the 1970s.
  • C. Richard Blais
    Richard Blais is an American chef, restaurateur, and television personality known for his inventive, modernist cooking and frequent appearances on culinary competition shows.
  • D. Michael Lyon
    Michael Lyon is an Australian local government politician who serves as the mayor of Byron Shire in New South Wales.
  • E. Wolfgang Puck
    Wolfgang Puck is an Austrian-American celebrity chef, restaurateur, and businessman known for his innovative fusion cuisine and influential fine-dining and casual restaurant empire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.